Blog Archives

If we want to shift from a closed science to an open science, there has to be change at several levels. In this process, it’s easy to push the responsibility (and the power) for reform onto “the system”: “If only journals changed their ...

If the p-value is < .05, then the probability of falsely rejecting the null hypothesis is <5%, right? That means, a maximum of 5% of all significant results is a false-positive (that’s what we control with the α rate). Well, no. As you...

The Psychology Department at LMU Munich continues to change the incentive structure towards reproducible and open science. The internal distribution of funding now partly is based on transparency criteria: Publications with open data, open material and...

[This is a guest post by Ned Bicare, PhD] Start the p-hacker app! My dear fellow scientists! “If you torture the data long enough, it will confess.” This aphorism, attributed to Ronald Coase, sometimes has been used in a disrespective manner, ...

tl;dr: Optional stopping does not bias parameter estimates from a frequentist point of view if all studies are reported (i.e., no publication bias exists) and effect sizes are appropriately meta-analytically weighted. Several recent discussions on the ...

From 17th to 22th September, the 50th anniversary congress of the German psychological association takes place in Leipzig. On previous conferences in Germany in the last two or three years, the topic of the credibility crisis and research transparency ...

These days psychology really is exciting, and I do not mean the Frster case … In May 2014 a special issue full of replication attempts has been released – all open access, all raw data released! This is great work, powered by the open scien...

Recently, a student of mine (Felix Senbach, now at the University of Edinburgh) and I published a little study on gaze-cueing, and how it is moderated by the trustworthiness of the gazing person. In a nutshell, although instructed to ignore the gaze, p...

This is a post-publication peer review (HIBAR: “Had I Been A Reviewer”) of the following paper: Levi, M., Li, K., & Zhang, F. (2010). Deal or no deal: Hormones and the mergers and acquisitions game. Management Science 56, 1462 -1483. A ...

[Update 2015/1/14: I consolidate feedback from Twitter, comments, email, and real life into the main text (StackExchange-style), so that we get a good and improving answer. Thanks to @TonyLFreitas,@PhDefunct, @bahniks, @JoeHilgard, @_r_c_a, @richardmor...